Bayesian item response theory to estimate power in clinical trials with patient-reported outcomes as endpoints.
| Publicado en: | Quality of Life Research Vol. 34; no. 4; pp. 1113 - 1125 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=184382935&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 184382935 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09629343 GPQ jtl: Quality of Life Research issn: 09629343 maglogo: N pubinfo: dt: Apr2025 vid: 34 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 184382935 182117888 10.1007/s11136-024-03874-y 184382935 ppf: 1113 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Bayesian item response theory to estimate power in clinical trials with patient-reported outcomes as endpoints. aug: au: Mei, Xiaohang Cappelleri, Joseph C. Hu, Jinxiang affil: https://ror.org/036c9yv20 Department of Biostatistics and Data Science, University of Kansas Medical Center, Kansas City, KS, USA sug: pubtype: Academic Journal doctype: Journal Article ougenre: Article ab: language: English refInfo: holdings: @attributes: islocal: N |
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